We solved the complexity crisis
The Problem
Volume = Complexity – As the volume of unstructured information grows, it becomes exponentially harder to organize, analyze, and leverage effectively.
Use Cases Break Down – This is felt in any use cases that handles information: From Search yielding frustrating results, over automatic curation missing relevance, to personalized experiences becoming too expensive to scale.
GenAl Falls Short – While heralded as the silver bullet, GenAl struggles without structured context, producing inconsistent results and driving up computational costs for mediocre outcomes.
Left Behind, Locked Out – Ultimately, this means transformative AI remains the domain of tech giants with infinite resources, leaving the rest of us sidelined and unable to compete.
Our Breakthrough
Deep’s proprietary AI transforms the messy world of natural language into a structured, actionable format:
Universal Fingerprint – We’ve developed a format akin to a “JPEG for text.” This fingerprint captures and quantifies the characteristics of any text, enabling us to quantify relations of everything from tweets, to news articles or even Moby Dick.
Hyper-Efficient Structuring – This fingerprint is our secret sauce. With it we can structure and analyze massive datasets with a tiny computational footprint. For example, we process all English and German online news in real time using a single AWS instance — highlighting unmatched scalability and cost-efficiency.
Language Independence – DeepAI operates seamlessly across languages. For now, it has been taught English and German, but it can expand to new languages in a matter of weeks, making it globally adaptable.
Why it matters
Deep's technology levels the playing field, bringing world-class Al capabilities within reach of any organization – no billions required.
GenAI Now Delivers — GenAI cases relying on large amounts of content or textual data are finally achievable.
Unmatched Quality at Scale – Precisely structured and quantified data now fundamentally improves key applications like search, clustering, personalization, or even content curation.
Cost Efficiency — Our hyper-efficient processing minimizes both computational and operational costs, making even the largest operations affordable and scalable.
About deep
We’re a Berlin based tech company on a mission to structure the world of information and make it actionable in real time.
We started with a simple yet powerful insight: platforms like Netflix and Spotify have set the standard for how content should be delivered - personalized, engaging, and tailored to individual needs. These platforms succeeded because they deeply understand their content, how it relates to user preferences, and how to organize it into meaningful experiences.
That's why we developed DeepAl, our proprietary Al that analyzes and structures vast amounts of information in real time.
We showcase the power of this breakthrough in two showcases:
DeepNews, which aggregates the world's news to deliver a trustworthy, personalized and engaging experience.
DeepPulse, which quantifies and simplifies public perception, making it actionable in real time.
As we refined this technology, we saw its potential beyond the news industry. Structuring information is the key to unlocking generative Al (GenAl) at scale. By helping businesses across industries turn their unstructured data into actionable insights, we're enabling the creation of innovative, personalized, and scalable solutions.
Our journey is about more than technology — it's about rethinking how we connect with information to build trust, drive innovation, and create a more informed world.
Our back story
Our Team
Maxim Nitsche
Co-Founder & CEO
Raphael Nitsche
Co-Founder & Technical Advisor
Antonia Düker
Co-Founder & COO
Lukas Tetzlaff
CTO
Thomas Nitsche
Co-Founder & President
Nikolas Mayr
Director of Engineering
Scott Macalister
Junior Content Manager